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projects through laboratory-based experimental work. ● Perform cell culture, routine molecular and cellular biology techniques. ● Assist with tissue processing, and harvests ● Support experiments using
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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and sustainability assessment
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 2 months ago
on formulating AM feedstock materials from coal ash and critical mineral extraction residuals, designing and fabricating filter carriers, and optimizing filter performance for various sorption opportunities
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work within the project Development of One-pot Multienzymatic Cascade Systems for Sustainable
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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quantification, or computational statistics. The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in statistics